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Abstract Environmental risk assessment (ERA) of pesticides is essential for protecting non-target organisms and supporting sustainable agricultural practices. This study links exposure and effect models for the prediction of pesticide risk and performs a global sensitivity analysis to identify the most influential parameters for maximum concentrations and risk indices.
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